Method and device for testing sound insulation of automobile part based on wave velocity forming scanning and automobile

Abstract

The invention relates to the technical field of sound insulation testing, in particular to a method and device for testing sound insulation of an automobile part based on wave velocity forming scanning and a vehicle, and the method comprises the steps: collecting noise information based on a sound collection array; selecting a scanning plane at a sound source and constructing a grid so as to restore noise hotspot information of the noise information to the scanning plane through beam forming analysis, and superposing the original geometric figure to obtain a wave velocity forming array; and determining the distribution information of the noise source of the to-be-detected automobile part according to the wave velocity forming array. Therefore, the problems that in the related technology, due to the fact that a sound intensity probe is used for testing points of a test piece every 10 cm, the test period is long, the position and angle deviation of the probe is prone to being caused by hand-held mobile testing, errors are large, the sound insulation index tested through a sound intensity method and the sound insulation index tested through a reverberation sound insulation method have test errors and need to be corrected, and the testing cost is high are solved. And the test efficiency and precision are not enough.

Description

Technical Field

[0001] This application relates to the field of sound insulation testing technology, and in particular to a method, device and vehicle for testing the sound insulation of automotive components based on wave velocity forming scanning. Background Technology

[0002] Currently, in the field of automotive NVH (Noise, Vibration, and Harshness) performance development and testing, the sound insulation performance testing of automotive components is one of the core aspects. Issues such as engine compartment noise and road noise transmitting into the vehicle interior through body components have prompted the industry to impose stringent requirements on the sound insulation performance of key components such as doors, front fascia, and floor. Reverberation chambers are used to simulate the highly diffused sound field within the vehicle cabin to excite the components under test (such as doors, windows, firewalls, and sound insulation pads); anechoic chambers, on the other hand, simulate the free field outside the vehicle and are used to measure the sound energy transmitted through the components to the other side.

[0003] In related technologies, automotive components are installed at the interface between two chambers, and the sound source in the reverberation chamber maintains a stable sound pressure level. On the anechoic chamber side, sound intensity probes are placed at 10cm intervals at a distance of 0.1m-0.3m from the components. The probes are manually held and collected one by one in the normal direction to collect sound intensity level data. The sound insulation is calculated by combining the data from the reverberation chamber.

[0004] However, in related technologies, the curved surfaces and openings of components require repeated probe adjustments due to the dense measurement points. Furthermore, the use of sound intensity probes to test one point every 10cm on the test piece results in a long testing cycle, making it difficult to meet the needs of mass production. Handheld mobile testing is prone to probe position and angle deviations, leading to large errors. Moreover, the sound intensity method and the reverberation sound insulation method have testing errors that need to be corrected, resulting in insufficient testing efficiency and accuracy, which urgently need to be improved. Summary of the Invention

[0005] This application provides a method, device, and vehicle for testing the sound insulation of automotive components based on wave velocity forming scanning, in order to solve the problems in related technologies, such as the long testing cycle caused by using a sound intensity probe to test one point at a time of 10cm, the large error caused by handheld mobile testing leading to probe position and angle deviation, and the test errors in the sound intensity method and the reverberation sound insulation method, which require correction, resulting in insufficient testing efficiency and accuracy.

[0006] The first aspect of this application provides a method for testing the sound insulation of automotive components based on beamforming scanning, comprising the following steps: acquiring noise information based on a sound acquisition array; selecting a scanning plane at the sound source and constructing a grid to restore the noise hotspot information of the noise information to the scanning plane through beamforming analysis, and superimposing the original geometric shape to obtain a beamforming array; and determining the distribution information of the noise source of the automotive component under test based on the beamforming array.

[0007] Through the above-mentioned technical means, the embodiments of this application can use a sound acquisition array to collect noise information in batches, and combine beamforming analysis to accurately restore noise hotspots to the scanning plane and associate them with geometric figures. This enables rapid localization of noise source distribution based on beamforming array, replacing the traditional point-by-point testing mode of sound intensity probes, significantly shortening the testing cycle. The spatial positioning capability of beamforming reduces reliance on manual operation and reduces errors caused by position deviation. At the same time, it predicts the sound insulation distribution position of the tested component, providing a clear basis for sound insulation performance analysis and has strong engineering applicability.

[0008] Optionally, in one embodiment of this application, determining the distribution information of the noise source of the vehicle component under test based on the wave velocity forming array includes: obtaining the sound insulation test value of the vehicle component under test based on the wave velocity forming array; obtaining the component sound insulation magnitude distribution cloud map of the vehicle component under test based on the wave velocity forming array; and generating the distribution information of the noise source of the vehicle component under test based on the sound insulation test value and the component sound insulation magnitude distribution cloud map.

[0009] Through the above-mentioned technical means, the embodiments of this application can obtain quantified sound insulation test values ​​and component sound insulation size distribution cloud maps based on beamforming arrays, and integrate the two to generate noise source distribution information, thereby providing accurate sound insulation quantitative indicators. The cloud maps can intuitively show the sound insulation differences in different areas of the component, thereby accurately locating the noise leakage location and providing a clear direction for component structure improvement.

[0010] Optionally, in one embodiment of this application, after obtaining the sound insulation test value of the automotive component under test based on the wave velocity forming array, the method further includes: performing left and right near-field noise value tests based on the test sound pressure value of the wave velocity forming array to obtain test data; and using the test data to correct the sound insulation test value.

[0011] Through the above-mentioned technical means, the embodiments of this application can comprehensively consider the sound pressure value of the wave velocity forming array test and conduct left and right near-field noise value tests to correct the sound insulation test value. In view of the test deviation problem of the sound intensity method and reverberation sound insulation method in related technologies, the accuracy and reliability of the sound insulation value can be further improved by near-field data correction.

[0012] Optionally, in one embodiment of this application, before collecting the noise information, the method further includes: arranging a reverberation chamber microphone and a reverberation chamber sound source to perform a reverberation chamber sound pressure level test; and arranging an anechoic chamber wave velocity forming array to perform an anechoic chamber wave velocity forming array noise test.

[0013] Through the above-mentioned technical means, the embodiments of this application can complete the test system setup of the reverberation chamber and the anechoic chamber before noise acquisition, respectively constructing a stable excitation sound field and a precise acquisition environment, thereby integrating the reverberation-reverberation sound insulation test method and the reverberation-anechoic test method, and taking into account the accuracy of the test results and the test efficiency through the sound pressure level correction of the anechoic chamber.

[0014] A second aspect of this application provides a device for testing the sound insulation of automotive components based on beamforming scanning, comprising: an acquisition module for acquiring noise information based on a sound acquisition array; a reconstruction module for selecting a scanning plane at the sound source and constructing a grid to reconstruct the noise hotspot information of the noise information onto the scanning plane through beamforming analysis, and superimposing the original geometric shape to obtain a beamforming array; and a testing module for determining the distribution information of the noise source of the automotive component under test based on the beamforming array.

[0015] Through the above-mentioned technical means, the embodiments of this application can use a sound acquisition array to collect noise information in batches, and combine beamforming analysis to accurately restore noise hotspots to the scanning plane and associate them with geometric figures. This enables rapid localization of noise source distribution based on beamforming array, replacing the traditional point-by-point testing mode of sound intensity probes, significantly shortening the testing cycle. The spatial positioning capability of beamforming reduces reliance on manual operation and reduces errors caused by position deviation. At the same time, it predicts the sound insulation distribution position of the tested component, providing a clear basis for sound insulation performance analysis and has strong engineering applicability.

[0016] Optionally, in one embodiment of this application, the testing module includes: a first acquisition unit, configured to obtain a sound insulation test value of the automotive component under test based on the wave velocity forming array; a second acquisition unit, configured to obtain a component sound insulation size distribution cloud map of the automotive component under test based on the wave velocity forming array; and a generation unit, configured to generate distribution information of noise sources of the automotive component under test based on the sound insulation test value and the component sound insulation size distribution cloud map.

[0017] Through the above-mentioned technical means, the embodiments of this application can obtain quantified sound insulation test values ​​and component sound insulation size distribution cloud maps based on beamforming arrays, and integrate the two to generate noise source distribution information, thereby providing accurate sound insulation quantitative indicators. The cloud maps can intuitively show the sound insulation differences in different areas of the component, thereby accurately locating the noise leakage location and providing a clear direction for component structure improvement.

[0018] Optionally, in one embodiment of this application, it further includes: a noise testing module, used to perform left and right near-field noise value tests based on the test sound pressure value of the wave velocity forming array after obtaining the sound insulation test value of the vehicle component under test according to the wave velocity forming array, so as to obtain test data; and a correction module, used to correct the sound insulation test value using the test data after obtaining the sound insulation test value of the vehicle component under test according to the wave velocity forming array.

[0019] Through the above-mentioned technical means, the embodiments of this application can comprehensively consider the sound pressure value of the wave velocity forming array test and conduct left and right near-field noise value tests to correct the sound insulation test value. In view of the test deviation problem of the sound intensity method and reverberation sound insulation method in related technologies, the accuracy and reliability of the sound insulation value can be further improved by near-field data correction.

[0020] Optionally, in one embodiment of this application, it further includes: a first arrangement module, used to arrange a reverberation chamber microphone and a reverberation chamber sound source before collecting the noise information, so as to perform a reverberation chamber sound pressure level test; and a second arrangement module, used to arrange an anechoic chamber wave velocity forming array before collecting the noise information, so as to perform an anechoic chamber wave velocity forming array noise test.

[0021] Through the above-mentioned technical means, the embodiments of this application can complete the test system setup of the reverberation chamber and the anechoic chamber before noise acquisition, respectively constructing a stable excitation sound field and a precise acquisition environment, thereby integrating the reverberation-reverberation sound insulation test method and the reverberation-anechoic test method, and taking into account the accuracy of the test results and the test efficiency through the sound pressure level correction of the anechoic chamber.

[0022] A third aspect of this application provides a vehicle, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the wave velocity forming scanning test method for sound insulation of automotive components as described in the above embodiments.

[0023] A fourth aspect of this application provides a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for testing the sound insulation of automotive components based on wave velocity forming scanning.

[0024] A fifth aspect of this application provides a computer program product that stores a computer program that, when executed by a processor, implements the above-described method for testing the sound insulation of automotive components based on wave velocity formation scanning.

[0025] This application's embodiments can utilize a sound acquisition array to collect noise information in batches, and combine beamforming analysis to accurately reconstruct noise hotspots onto the scanning plane and associate them with geometric patterns. This allows for rapid location of noise source distribution based on the beamforming array, replacing the traditional point-by-point testing mode of sound intensity probes. This significantly shortens the testing cycle, and the spatial positioning capability of beamforming reduces reliance on manual operation, minimizing errors caused by positional deviations. Simultaneously, it predicts the sound insulation distribution location of the tested component, providing a clear basis for sound insulation performance analysis and demonstrating strong engineering applicability. This solves the problems in related technologies, such as the long testing cycle due to the use of sound intensity probes testing at 10cm intervals, the large errors caused by handheld mobile testing leading to probe position and angle deviations, and the testing errors in sound intensity and reverberation methods requiring correction, resulting in insufficient testing efficiency and accuracy.

[0026] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0027] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a method for testing the sound insulation of automotive components based on wave velocity formation scanning, according to an embodiment of this application. Figure 2 This is a test location diagram provided according to one embodiment of this application; Figure 3 This is an actual test diagram provided according to one embodiment of this application; Figure 4 This is a schematic diagram of a sound insulation device for automotive components based on wave velocity forming scanning, according to an embodiment of this application. Figure 5 This is a structural schematic diagram of a vehicle provided according to an embodiment of this application.

[0028] Figure label: 10-Sound insulation device for automotive components based on wave velocity forming scanning test; 100-Acquisition module, 200-Restore module, 300-Test module; 501-Memory, 502-Processor, 503-Communication interface. Detailed Implementation

[0029] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0030] The following description, with reference to the accompanying drawings, outlines a method, apparatus, and vehicle for testing the sound insulation of automotive components based on wave velocity forming scanning, representing embodiments of this application. Addressing the issues raised in the background section, where the application of sound intensity probes to test points on the test piece at 10cm intervals results in a long testing cycle, and handheld mobile testing easily leads to probe position and angle deviations, causing significant errors, and where sound intensity methods and reverberation methods for testing sound insulation have testing errors requiring correction, resulting in insufficient testing efficiency and accuracy, this application provides a method for testing the sound insulation of automotive components based on wave velocity forming scanning. In this method, noise information can be collected in batches using a sound acquisition array, and combined with beamforming analysis, noise hotspots can be accurately reconstructed onto the scanning plane and associated with geometric patterns. This allows for rapid localization of noise source distribution based on the wave velocity forming array, replacing the traditional point-by-point testing mode of sound intensity probes, significantly shortening the testing cycle. The spatial positioning capability of beamforming reduces reliance on manual operation, minimizing errors caused by positional deviations, and simultaneously predicting the sound insulation distribution location of the tested component, providing a clear basis for sound insulation performance analysis, and demonstrating strong engineering applicability. This solves the problems in related technologies, such as the long testing cycle caused by using a sound intensity probe to test one point on the test piece every 10cm, the large error caused by the position and angle deviation of the probe due to handheld mobile testing, and the test errors in the sound intensity method and the reverberation sound insulation method, which require correction and result in insufficient testing efficiency and accuracy.

[0031] Specifically, Figure 1 This is a schematic flowchart of a method for testing the sound insulation of automotive components based on wave velocity formation scanning, provided in an embodiment of this application.

[0032] like Figure 1 As shown, the method for testing the sound insulation of automotive components based on wave velocity formation scanning includes the following steps: In step S101, noise information is collected based on the sound acquisition array.

[0033] It is understood that the sound acquisition array in the embodiments of this application can be understood as a group of microphones arranged according to a specific spatial geometry, which can synchronously acquire sound pressure signals in the space, and can achieve spatial information capture of noise signals through multi-channel synchronous acquisition.

[0034] In practical implementation, this embodiment of the application can synchronously acquire noise signals transmitted from the component under test by using a microphone array arranged on the side of the anechoic chamber. Each microphone in the array simultaneously records sound pressure time-series data, which is synchronously stored through a data acquisition system. Based on the array signal processing principle, by measuring the time difference or phase difference of sound waves arriving at different microphones, complete spatial acoustic information can be provided for subsequent sound source localization and sound field reconstruction.

[0035] For example, in this embodiment of the application, a sound acquisition array (e.g., a 32-channel circular array with a diameter of 1.5m) can be arranged in an anechoic chamber at a distance of 0.2m from the surface of the automotive component under test (such as a door module), ensuring that the center of the array is aligned with the center of the component. After the reverberation chamber sound source is activated, each microphone in the array synchronously acquires the sound pressure time series data of the transmitted noise, with the sampling frequency set to 48kHz and the acquisition duration set to 5 seconds. The signals from all microphones are stored in real time to the server through a multi-channel data acquisition card. Based on the array signal processing principle, the spatial propagation characteristics of the sound wave can be calculated using the arrival time difference of the signals from each microphone, providing raw data for subsequent sound source localization.

[0036] The embodiments of this application can replace the traditional point-by-point moving measurement with array-type synchronous acquisition, realizing the acquisition of acoustic data of the entire test area at one time, which significantly improves the test efficiency and avoids the positional error introduced by multiple probe movements.

[0037] Optionally, in one embodiment of this application, before collecting noise information, the method further includes: arranging a reverberation chamber microphone and a reverberation chamber sound source to perform a reverberation chamber sound pressure level test; and arranging an anechoic chamber wave velocity forming array to perform an anechoic chamber wave velocity forming array noise test.

[0038] It is understood that the reverberation chamber microphone in this embodiment can be used to capture the sound pressure level of the diffuse sound field in the reverberation chamber to ensure the stability of the sound source excitation; the reverberation chamber sound source can be used to simulate the complex noise environment in actual car operation; the anechoic chamber beamforming array can be a sound acquisition array, and the non-reflective characteristics of the anechoic chamber can eliminate environmental noise interference and ensure the purity of the array acquisition data.

[0039] In actual implementation, the embodiments of this application can arrange reverberation chamber microphones and reverberation chamber sound sources before collecting noise information to conduct reverberation chamber sound pressure level tests; and arrange anechoic chamber wave velocity forming arrays to conduct anechoic chamber wave velocity forming array noise tests.

[0040] like Figure 2 and Figure 3 As shown, the reverberation chamber contains a sound source to generate a stable diffused sound field, simulating the noise environment inside a vehicle to excite the test specimen. Microphones are placed inside to measure and monitor the average sound pressure level within the reverberation chamber. The anechoic chamber simulates free-field conditions, with walls covered in sound-absorbing wedges. An internal beamforming array and correction microphone positions are installed. Inside the anechoic chamber, a beamforming array is deployed directly opposite the test specimen. This array consists of multiple microphones arranged according to a specific pattern; its core function is to synchronously acquire sound field information transmitted from the test specimen and reconstruct the sound pressure distribution based on this information using algorithms. The two laboratories are physically separated by a soundproof wall containing the test specimen.

[0041] The embodiments of this application can complete the test system setup of the reverberation chamber and anechoic chamber before noise acquisition, respectively constructing a stable excitation sound field and a precise acquisition environment, thereby integrating the reverberation-reverberation sound insulation test method and the reverberation-anechoic test method, and taking into account both the accuracy of the test results and the test efficiency through the sound pressure level correction of the anechoic chamber.

[0042] In step S102, a scanning plane at the sound source is selected and a grid is constructed to restore the noise hotspot information of the noise information to the scanning plane through beamforming analysis, and the original geometry is superimposed to obtain a beamforming array.

[0043] It is understood that beamforming analysis in the embodiments of this application can be understood as a spatial signal processing technology. By weighting and delaying the array received signal, it can enhance sound waves in a specific direction and suppress sound waves in other directions. Noise hotspot information can be understood as areas on the component with weak sound insulation and high sound transmission intensity. Superimposing the original geometric shape can achieve a precise correlation between the noise location and the component structure.

[0044] In practical implementation, the embodiments of this application can determine the scanning area of ​​the surface of the component under test and discretize it into a fine grid. For each grid point, the propagation delay of the sound wave from that point to each microphone in the array can be calculated, and the acquired sound pressure signal can be phase compensated and weighted accordingly. By scanning the entire grid, the sound pressure contribution of each point is obtained, thereby reconstructing the sound field distribution on the surface of the component. The reconstructed sound field is superimposed on the original geometry to form an intuitive acoustic visualization result.

[0045] The embodiments of this application can realize the spatialization and visualization of noise information through virtual scanning plane construction and beamforming algorithm analysis, which can intuitively display the sound insulation performance distribution of components and accurately locate weak sound insulation areas.

[0046] In step S103, the distribution information of noise sources of the vehicle component under test is determined based on the wave velocity forming array.

[0047] It is understood that the distribution information in the embodiments of this application may include numerical results of sound insulation and spatial distribution characteristics, which can be used to provide qualitative and quantitative sound insulation performance evaluation.

[0048] For example, embodiments of this application can extract noise intensity data for each grid cell based on a wave velocity forming array, combine it with the excitation sound pressure level on the reverberation chamber side, calculate the 1 / 3 octave band sound insulation, and thus obtain the overall sound insulation and local sound insulation distribution of the component. By combining the sound pressure data with the geometric information of the component, a distribution cloud map that reflects the spatial variation of sound insulation performance is generated.

[0049] The embodiments of this application can obtain accurate noise source distribution results through data analysis and information conversion of beamforming arrays, which facilitates engineering application optimization, greatly shortens the testing and optimization cycle, provides data support for sound insulation optimization and fault diagnosis, and reduces trial and error costs.

[0050] Optionally, in one embodiment of this application, determining the distribution information of noise sources of the vehicle component under test based on the wave velocity forming array includes: obtaining the sound insulation test value of the vehicle component under test based on the wave velocity forming array; obtaining the component sound insulation size distribution cloud map of the vehicle component under test based on the wave velocity forming array; and generating the distribution information of noise sources of the vehicle component under test based on the sound insulation test value and the component sound insulation size distribution cloud map.

[0051] It is understood that the sound insulation test value in the embodiments of this application can be understood as a quantitative indicator reflecting the overall sound insulation performance of the component.

[0052] In practical implementation, this embodiment can calculate the 1 / 3 octave band sound insulation of the automotive component under test based on the wave velocity forming array, obtain the sound insulation test value of the automotive component under test, and obtain a component sound insulation distribution cloud map based on the wave velocity forming array, intuitively displaying the sound insulation effect of each area. This embodiment generates the noise source distribution information of the automotive component under test based on the sound insulation test value and the component sound insulation distribution cloud map, forming complete noise source distribution information, including the overall sound insulation level and the location of local defects.

[0053] The embodiments of this application can obtain quantified sound insulation test values ​​and component sound insulation size distribution cloud maps based on beamforming arrays, and fuse the two to generate noise source distribution information, thereby providing accurate sound insulation quantitative indicators. The cloud maps can intuitively show the sound insulation differences in different areas of the component, thereby accurately locating the noise leakage location and providing a clear direction for component structure improvement.

[0054] Optionally, in one embodiment of this application, after obtaining the sound insulation test value of the automotive component under test based on the wave velocity forming array, the method further includes: testing the left and right near-field noise values ​​based on the test sound pressure value of the wave velocity forming array to obtain test data; and correcting the sound insulation test value using the test data.

[0055] It is understood that the left and right near-field noise value test in the embodiments of this application can be understood as supplementing the collection of noise data in the near-field area (0.05m-0.1m from the surface) on both sides of the component to capture the boundary noise that may be missed in the array test; the sound insulation correction can be understood as eliminating the calculation deviation of the beamforming algorithm in the boundary area by comparing and analyzing the near-field data and the array data, and solving the test difference problem between the sound intensity method and the reverberation sound insulation method.

[0056] For example, in this embodiment, after obtaining the initial sound insulation test value, a small mobile microphone on the anechoic chamber side can be controlled to perform near-field scanning and acquisition in the boundary areas on both sides of the component (such as the connection seam between the door and the body, or the corner of the component), with the acquisition points spaced 2cm apart, to obtain detailed boundary noise data. This embodiment can compare the near-field data with the test data at the corresponding position of the beamforming array, calculate the deviation coefficient between the two, establish a correction model using the least squares method, and adjust the initial sound insulation test value. If the near-field data shows that the boundary noise is 2dB higher than the array data, the sound insulation test value of the corresponding area is simultaneously corrected and reduced by 2dB, outputting the corrected and accurate result.

[0057] The embodiments of this application can comprehensively consider the sound pressure value of the wave velocity forming array test and perform left and right near-field noise value tests to correct the sound insulation test value. In view of the test deviation problem of the sound intensity method and reverberation sound insulation method in related technologies, the accuracy and reliability of the sound insulation value are further improved by near-field data correction.

[0058] The method for testing the sound insulation of automotive components based on beamforming scanning proposed in this application can utilize a sound acquisition array to collect noise information in batches. Combined with beamforming analysis, noise hotspots are accurately reconstructed onto the scanning plane and associated with geometric patterns. This allows for rapid localization of noise source distribution based on the beamforming array, replacing the traditional point-by-point testing mode of sound intensity probes. This significantly shortens the testing cycle. The spatial positioning capability of beamforming reduces reliance on manual operation and minimizes errors caused by positional deviations. Simultaneously, it predicts the sound insulation distribution location of the tested component, providing a clear basis for sound insulation performance analysis and demonstrating strong engineering applicability. This solves the problems in related technologies where testing with sound intensity probes at 10cm intervals results in long testing cycles, and handheld mobile testing easily leads to probe position and angle deviations, resulting in large errors. Furthermore, the sound intensity method and reverberation method for sound insulation testing have testing errors that require correction, leading to insufficient testing efficiency and accuracy.

[0059] Next, referring to the accompanying drawings, a sound insulation device for automotive components based on wave velocity forming scanning test proposed according to an embodiment of this application is described.

[0060] Figure 4 This is a schematic diagram of the structure of a sound insulation device for automotive components based on wave velocity forming scanning test according to an embodiment of this application.

[0061] like Figure 4 As shown, the sound insulation device 10 for testing automotive components based on wave velocity formation scanning includes: a data acquisition module 100, a data restoration module 200, and a test module 300.

[0062] The acquisition module 100 is used to acquire noise information based on the sound acquisition array.

[0063] The restoration module 200 is used to select the scanning plane at the sound source and construct a grid so as to restore the noise hotspot information of the noise information to the scanning plane through beamforming analysis, and superimpose the original geometry to obtain a beamforming array.

[0064] Test module 300 is used to determine the distribution information of noise sources of the automotive component under test based on the wave velocity forming array.

[0065] Optionally, in one embodiment of this application, the test module 300 includes: a first acquisition unit, a second acquisition unit, and a generation unit.

[0066] The first acquisition unit is used to obtain the sound insulation test value of the automotive component under test based on the wave velocity array.

[0067] The second acquisition unit is used to obtain a cloud map of the sound insulation size distribution of the automotive component under test based on the wave velocity array.

[0068] The generation unit is used to generate the distribution information of noise sources of the automotive component under test based on the sound insulation test value and the component sound insulation size distribution cloud map.

[0069] Optionally, in one embodiment of this application, the sound insulation device 10 for testing automotive components based on wave velocity formation scanning further includes a noise testing module and a correction module.

[0070] The noise testing module is used to test the left and right near-field noise values ​​based on the test sound pressure value of the wave velocity forming array after obtaining the sound insulation test value of the automotive component under test according to the wave velocity forming array, so as to obtain test data.

[0071] The correction module is used to correct the sound insulation test value of the automotive component under test after obtaining the test value based on the wave velocity array.

[0072] Optionally, in one embodiment of this application, the sound insulation device 10 for testing automotive components based on wave velocity formation scanning further includes: a first arrangement module and a second arrangement module.

[0073] The first arrangement module is used to arrange the reverberation chamber microphone and the reverberation chamber sound source before collecting noise information, so as to conduct a reverberation chamber sound pressure level test.

[0074] The second arrangement module is used to arrange the anechoic chamber wave velocity forming array before collecting noise information, so as to conduct noise testing of the anechoic chamber wave velocity forming array.

[0075] It should be noted that the foregoing explanation of the embodiment of the method for testing the sound insulation of automotive components based on wave velocity forming scanning also applies to the sound insulation device for testing automotive components based on wave velocity forming scanning in this embodiment, and will not be repeated here.

[0076] The beamforming scanning test device for automotive component sound insulation proposed in this application can use a sound acquisition array to collect noise information in batches. Combined with beamforming analysis, noise hotspots are accurately reconstructed onto the scanning plane and associated with geometric patterns. This allows for rapid localization of noise source distribution based on the beamforming array, replacing the traditional point-by-point testing mode of sound intensity probes. This significantly shortens the testing cycle. The spatial positioning capability of beamforming reduces reliance on manual operation and minimizes errors caused by positional deviations. Simultaneously, it predicts the sound insulation distribution location of the tested component, providing a clear basis for sound insulation performance analysis and demonstrating strong engineering applicability. This solves the problems in related technologies where testing with sound intensity probes at 10cm intervals results in long testing cycles, and handheld mobile testing easily leads to probe position and angle deviations, resulting in large errors. Furthermore, the sound intensity method and reverberation method for sound insulation testing have testing errors that require correction, leading to insufficient testing efficiency and accuracy.

[0077] Figure 5 A schematic diagram of the structure of a vehicle provided in an embodiment of this application. The vehicle may include: The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0078] When processor 502 executes the program, it implements the sound insulation test method for automotive components based on wave velocity forming scanning provided in the above embodiments.

[0079] Furthermore, the vehicle also includes: Communication interface 503 is used for communication between memory 501 and processor 502.

[0080] The memory 501 is used to store computer programs that can run on the processor 502.

[0081] Memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0082] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0083] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0084] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0085] This application also provides a non-volatile computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described method for testing the sound insulation of automotive components based on wave velocity formation scanning.

[0086] This application also provides a computer program product storing a computer program that, when executed by a processor, implements the above-described method for testing the sound insulation of automotive components based on wave velocity formation scanning.

[0087] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0088] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0089] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0090] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0091] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or more of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0092] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0093] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0094] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method of forming a scan test automobile component sound insulation based on wave velocity, characterized by, The method comprises the following steps: acquiring noise information based on a sound acquisition array; selecting a scanning plane at a sound source and constructing a grid to restore noise hotspot information of the noise information belonging thereto to the scanning plane through beamforming analysis and superimpose original geometric figures to obtain a wave velocity forming array; determining distribution information of a noise source of a to-be-tested automobile component according to the wave velocity forming array.

2. The method of claim 1, wherein, The determining of the distribution information of the noise source of the to-be-tested automobile component according to the wave velocity forming array comprises: obtaining a sound insulation amount test value of the to-be-tested automobile component according to the wave velocity forming array; obtaining a component sound insulation size distribution cloud diagram of the to-be-tested automobile component according to the wave velocity forming array; generating the distribution information of the noise source of the to-be-tested automobile component based on the sound insulation amount test value and the component sound insulation size distribution cloud diagram.

3. The method of claim 2, wherein, After the obtaining of the sound insulation amount test value of the to-be-tested automobile component according to the wave velocity forming array, the method further comprises: performing left and right near-field noise value tests based on a test sound pressure value of the wave velocity forming array to obtain test data; correcting the sound insulation amount test value by using the test data.

4. The method of claim 1, wherein, Before the acquiring of the noise information, the method further comprises: arranging a reverberation chamber microphone and a reverberation chamber sound source to perform a reverberation chamber sound pressure level test; arranging a wave velocity forming array in an anechoic chamber to perform an anechoic chamber wave velocity forming array noise test.

5. A method of forming a scan test for an automotive component acoustic insulation device based on wave velocity, comprising: The method comprises: a collecting module configured to acquire noise information based on a sound acquisition array; a restoring module configured to select a scanning plane at a sound source and construct a grid to restore noise hotspot information of the noise information belonging thereto to the scanning plane through beamforming analysis and superimpose original geometric figures to obtain a wave velocity forming array; a testing module configured to determine distribution information of a noise source of a to-be-tested automobile component according to the wave velocity forming array.

6. The apparatus of claim 5, wherein, The testing module comprises: a first obtaining unit configured to obtain a sound insulation amount test value of the to-be-tested automobile component according to the wave velocity forming array; a second obtaining unit configured to obtain a component sound insulation size distribution cloud diagram of the to-be-tested automobile component according to the wave velocity forming array; a generating unit configured to generate the distribution information of the noise source of the to-be-tested automobile component based on the sound insulation amount test value and the component sound insulation size distribution cloud diagram.

7. The apparatus of claim 6, wherein, The method further comprises: a noise testing module configured to, after the obtaining of the sound insulation amount test value of the to-be-tested automobile component according to the wave velocity forming array, perform left and right near-field noise value tests based on a test sound pressure value of the wave velocity forming array to obtain test data; a correcting module configured to, after the obtaining of the sound insulation amount test value of the to-be-tested automobile component according to the wave velocity forming array, correct the sound insulation amount test value by using the test data.

8. A vehicle characterized by comprising: The method comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for testing sound insulation of an automobile component based on wave velocity forming scanning according to any one of claims 1-4.

9. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the method for testing sound insulation of an automobile component based on wave velocity forming scanning according to any one of claims 1-4.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed for implementing the method for forming a scanning test of sound insulation of a motor vehicle component based on wave speed as claimed in any one of claims 1 to 4.

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